ThinkneoAI/mcp-server
by Various
Dual-protocol gateway: 62 MCP tools + A2A Protocol agent (82/82 TCK intentional) in a single governed runtime
MCP
ThinkneoAI/mcp-server
Added 1 June 2026
Overview
ThinkneoAI/mcp-server is a dual-protocol gateway that exposes 62 MCP tools and an A2A Protocol agent within a single governed runtime. It is written in Python and designed for developers who need to bridge multiple agent communication standards.
Best for
Best for
Developers exploring multi-protocol agent systems who need a unified tool gateway
Use cases
- Integrating MCP and A2A protocol tools in one runtime
- Building governed multi-agent systems with standardized tool access
- Testing or prototyping with 62 pre-built MCP tools
Notes
ThinkneoAI/mcp-server is a dual-protocol gateway that exposes 62 MCP tools and an A2A Protocol agent within a single governed runtime. It is written in Python and designed for developers who need to bridge multiple agent communication standards.
1 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.
Use cases
- Integrating MCP and A2A protocol tools in one runtime
- Building governed multi-agent systems with standardized tool access
- Testing or prototyping with 62 pre-built MCP tools
Pros
- Supports both MCP and A2A protocols in a single gateway
- Provides a large set of 62 pre-built tools for rapid development
- Governed runtime helps enforce access controls and consistency
Cons
- Very early stage with only 1 GitHub star and minimal community adoption
- Limited documentation and real-world usage examples
- Python-only implementation may not suit all deployment environments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports both MCP and A2A protocols in a single gateway
- Provides a large set of 62 pre-built tools for rapid development
- Governed runtime helps enforce access controls and consistency
Cons
- Very early stage with only 1 GitHub star and minimal community adoption
- Limited documentation and real-world usage examples
- Python-only implementation may not suit all deployment environments
Pairs with
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